JFIF     "" $(4,$&1'-=-157:::#+?D?8C49:7 7%%77777777777777777777777777777777777777777777777777"H !1AQ"2aqB#R3b$Cr4Ss%Tt&c$!1AQ"a#2B ? }XuAo)8^ IƟ`vUp9jY0Ǧ w)E허2jU`SEKw5]kSno!]:?jc\غV7/9N+{t#8zd/޲3F/=ź3GNquV"/4:{z%ۣI'D@ %88^f}VV)S_2ed^Mx"͟?UC62Q%чmO͓ cq0rŖJ\Õ_Sݶ'|G.q޾D U]nP%EF>˲E"d&'f2s6H]4w IS˶4VbaQ+9]XtNx:M0JNxϙ⟟"{nr;|{%vo\z-wc,*|k}-m55o4W9ؓw߱Yzk .=/oϡȴ^9ҧʹamtQԬZ]4?egjrQ}+)MleE]MPEn!`IK2RUEwVIoͷcp;lśe7΄uN ;rПV8|e\׹9Y-V_G.)XԢOv<;_"ڜ]ߙEr݊'K{KuBJ}KI}24|"v)/ʻo5)6-Tjd7.C]Q&lU,Yk1P4~UKZs|$kX6+屷CUq+N(jlGrpG&UB3#k3\9qfg7O8Kim(AJOO~C#e`i0wĦij$cWh<dtQߺ"NOtG+ZǪ]b5%]v5$)u|qZ柡s-rۖu$MKڎCmN_V'/1u,21pvlc>қeNnֺ|bkl=lǷNOʣlz*]»vȎ[)j[fs[]:s#m6Qt6*Q+`};ßj[F_jcv`r#w}|k<ڞ/r53N8>Kh q_-_??@enſEܥ\D\YAEo+ ޟd}IcY7+t{=ɩ>}i\\JfxzVdSzᔢ]Q^CJի\iceitMM5hڦg')^ et#ۯ"ÿfF->4iؤ2ݷ6#p6^-R̫gETj^I.kӽUp~D9[:/>h> \gJ|ۿؘ>ml9jMK =+*2i=0RiͶۗV{"u]IH`9J_˹KƼK$X-|=ve/ bjxw.9i%NqVJcFYKcTtO,F;%67vYb8֝qq0tUt=DvawsS~~Edzr^F-v{c++ݔ\|9Iy #nOavOY=3690Tcrilwa\˓m$?箵S6U c(.~R7suMhqcMOnKoc*ȣȩEd'J ܜk*_q}%M/7c.|;trddbsdcJev85̤iW Ę 8C# .딖e$sk80^\J众2)Nm~|Idj_ O+6ǻ#(MIz4Qo:օY,:q]̌"lK}{F]ζ)h>ʶ ^ue78_G#rqv$wkk[Q c+վ+ĸZΝFB]VzoiJRke&Kgom_7Wef_7,osJɽE%lzBt>mRs)v8'P0ֲtrOg4p_2`GlhYڦDF/ӚKmtm'P2kqU765fJY:y؊.ox%8V_ִ̌ܞjpqwЮQ;iUcNoOoٸcY w*4soӵkqf$?-jy~0{>?DaL8XL/ɞo+'8 {ʸxգj#Dy)wk̘e۩+%}~;ڼ5xek|y-%ڱ-ʜe:EEScÚ5z|r'&I&яF*F7|[nRF =(4ۖ@. n7@xx:N^8Bg%u/ny6&dR{?8U_Q6Z߯-oh.NR]} qi6~H(j7*uF&l&o8ts]/P89:jW*$w׹Ӌ FxpsCJi.7N q4WU_}7*M#qWiصnk'4ݍl*t^ c<'d:~͗enFQRz9v~ddoTZ̚k7X(wUswO̙fոҁՕ[$IAI>WW~ĪEѢNoeutYߑ-Eixιpxq{FnyfRrjqU᫤]>wPU8)Y-7Wbq㛋w:7ܣ].j%K:y4] %9$I%pT(󨪙VqiYٓ4y~5S/XTDZM2lȪ; S~Kx:(Mn0';-{*qV&|W3S+\֔a{R{s=lYmN9Fn&o'}Vi( ?*qV5ѼCNsM饏zߴ$^O69@ ,$y|jE;gW/u|M?3+ZՕN86յw%|QO㏏S\E#ddsgl+Scl3~~CԕQľ?5_ z߿t11OĶ0>oB9E/SOSk+b&Yn>$툧eg) "!܉(1 uBoJ)/t/,:=7M+1ܺ#CmS^Nz 6[u&]+|Dfj:uZ5-Z^TjMtm>cȳ NdT_,M#Ex;pt۴ͮ#!N iKl!zPծ~$1SiO} HI&g Bf)b%Ko̧kumEnص;V?j>nltOMVۆl>.WueYaw2+qK,?uHiqqSM}~gu3xbcWSy/Xc{%sZ]uaUM;7:cb5G97'7þյW,;$ܛyVjl޻y7S;o6gf.Tг[7/i1Z^rE cUF'P1-?%u&q{fw~27ޡ ^w$?SwP[=R3Y73 4x(Kk&rLȫMKn:RjcI?3Al`vض[POĖSYujj6v+-[xҵ=~zNN>\ɲQ/uufo*e6l;31붏.>w6=7#7dFDc%ƶTbd;2/=?Asr! ~ZSS~I"9y]Hn,ĊJ7S}cK"amCg3yP=RQɤW}t;-{F+v+RɔڎB?º{SV묖kۏmK~%.Q;OfEf_Y/F-V-MdD)m.ZՍ8Y*h[g/6ydmCc[rdfʾ䖗gd$^֍^ʅѻL|<[݉\߯RiJUo';œN?B smS ܹkس,mRE^ѣlJ&.ċ԰YO:޼f\Z'HCѯU[ʩ1ff4S-٥YxTIGLiыr }L)edׂ*l|ٚuoxӿnWkTbbVm zT_'"x5Vިxo1ج^Fq6Sd3ws'/ڞ6m?}1OsRGݝ+,~ڬ%^p1ef5c25vq~﹉ă[r-eq] 8+/ESj}?mUE.xYK3"oƔ^Y9I]I ޑ" &*4.Jâ}ټQbXKJ񽼀ncg`+riܭ_'Bֽp%bX'7cB}WPm|zHָLJhj~E>i~Z$297|_hyΕ&s}ZϷ *j]:v.HK<SP8`Pƣ)r ,}8Wk[ArHgn=о7:J]TTP>OOj J_KyB\Ԥrm嬷ȫr{ݙ5R(FRЪ6q}KLmR'eޖz6[YތesYYL5Tr7s\^rؙV͸컬j5d?yk'b S }kra^ߚRH)[sg.fLM\u= vJQ]rVkZuoN}#G?yjO%|i2fKoӰღC P_Ϳ6Zr{e/m$i}9 G2')YG9KY>|1ӫ +v+i;h\Q@˿Lӭn˖ 7ck>Vr.D0)hC<˄4"0[eԬݭe+l2s3ss oX]1r]+VK vI;mZ')R6e5=/i@]H^Z۬՝EW.jƆf{8mXMV~_̝z^VR}T63}}k3+k3:j1Phlpi{欍BȽ}6w73GtUZv>4eUj$ xz$$D/߇ߟI"uk̜aƪ*ke/F:dһ_PE1ݡkp(5ʏ-ɮ{Yllԧg!ܝ g]i-umεŸxOê^=PR ##XeMy%2L~󜺶Hm ݙ2t_ƶz7'\Z4T<"AM-&xaC]a5.huQ۫$cMμ|h;.J.o߸sE-zU{d];|YLSMvSEneNKr1B[]NeonNߪ$4̘FPrkxޱ=0lr7Q%=$KQ;0r*XKdGۃ*]w-npᬶ\tt4>Dc[Ouo3/)-WҴ xs71eԤm*ٖ웗H''.Cnmy]݊Kra[9)Y#2U6d7tf.[R.GdE>#O_.+-K`{KonR_ÕM/)?:F,Xo1ƽRmz8C]lD %(x+d2Ah+\CCLJ!D65x\ȼv)\Nrp*[YُfL*PyVΚuWA K4hyYdwihNIy#ub?4NDϐ'4 :nFe(o%ve@@xl-k%QƭRP&kεMŪ-Ys2u ]T!}8*TQnZ}v =~mԧyDM&8K>2|Bnugܷ.wvCs̼5F^ubES7ݢM&4Ź-~mKx1((sr!M5uy\q)oy|a)ˣ,A?w"T휳2\F}PR-<2%`~4Z5\W"(USkGpT(~Qj>ɰ쏳ǓSKKx's]nEf'.iݙL>Moƹk7ݭ[.г6lk<;?)#E]xFU7'>vF%R;t:Җs}NSBWX=Y8ث}~G)S^^ƽwR[)/Fm-ڞTK~˓Z]U;RQ=M/"NԝP[-Y9t_8V+}P?Ue{M/O&WWKvc#r'KM'p[±vtpRC/W|7K2Rfm;ljm%Z]^T[6}6iTC }L[uxg7(Z}. SRI)jҞzȶ쳢oYRw$ŷ"J\ǭw{u'R taF{;3hHB\RP(*ZQ]y;;k٥nWbGKv-V?NDҞkd9@z LJ}Kc9C*?V-*[*۸-0.|󲝳ߗZK#%_OFGF$kC$[NNJ7Yn[k~Xzc+Sʲuhsw^^4+nElbƮKD,}YLV=i=|p|_=b5mȵ(~,em#Xƥ.sVoEaWXc.lY uG\m';'*\ӆ}|˯UfQBvo}/"zw + qvMrQ[[AdU2ٽCGgjؖS~Ev%9">$_2Sߚ%ѽ7jX(t#21r{̬F]b()?r[Rı)W[O/6]XL9 vuLh-Ȃ9"'7f!Փ䮿Bf}[lag֧]?Pc#D9EmfK7o*})+n!]qIo^FrNVNo!Eƃd#OP?%ۋ(mPu93ۣ{}2&$%cZ߯LҚY);U afԶd,*'6_?B:R~}^̬~mJ+vC}Ѩe"MY+mi :s쥸;iJeYvBddeK|#5/mzR]F2 JHUU )/S{Ic$=: W)>} @0#URsR=w"L{+ɞ)d|*qq2>[nƨDۋ-G[6½J|{Ѿ4MwyG-Σ Ze{ug>2|'zΤ2%xՑ*<Q̥T')uLkjn(zF-JOR}wn~FV5zq2m'^VS=7Y^RdfeO)>EpX붚w*r*w˿^kڴ{J;K۔sRŶU]p\zn@dx6[+yeH[_m_/I&mv|M5&&-G"v۴^{vg8Y(K_~h0e AxfrzڬkhS/Vy1ϯdW3'͹}{'V-:MW(V/ͷ*E7s\EmEW}bUr'k,P{9?B֫ #[uNrB,wo^{fdF(5tRf.2J-/:~ t0M"d_/c^32*q]yLl^2[ݥZc*vtm213r'tSuM-Խ#o/HF+2VEpmǦޟS?Rs+t:u G8n,Ԛf,hY8SX*rKf>+cpruɬ=DMrXgϸ:~ɲ ~]'5'kElw\=ڞAG&')G9R\_̝1K;nPg&T(ի[^Jҟ"qoӸ.W}3mF>'$<\U6-~?x?B~{^xkpv-vlߣe빹j\(ښsuu6lH(qoaYt?x8}Ie '@b%TݲygV.+O9/W4MsCMuFjYzG.{ds.k(>G~K?ni-=R r}r ?s̥%l5Ϛ9IN6~۩RĢWNʾE[|nb.HY—קWkr1ҺշMNDp)^¸R:w;u1 12]T/Uiʹd%2OC2K*r5S]g凫5 UQ.ȫ– /i91njFkQxuJ1rn%XDžy?s˗վuMGƋ/m^J*RsF))uF,'l{=|nFm9:N\%u#tnXE->e2Y0PũjUȨEŭ|'eʹ[o{Ցms%CGg/}t|snzrvm\g}cÊ94Pvg'L}ّg궮ԱߢO^f.W-sT]M˔ېе<^Н'KuNn_Vl8*Kж^ xsuW51-ᅱFzƉT-kY/9wzDޯ/XlW)gypǚjDɨ~{ݤHCim.[>rqE_Uرx/>|L64%aj;fxӱF(K֓J9՞ -K> I_5Enn´&=Oc%o̟IJZF$۲5I9Wݚ n.WTuѲӏ[4U/9.2zX5\j3ĎEsMq4%9.d[7јc9eNa+sjE';%s#ɤ`ףS=WI쫢.Mv:j/[3:rTF_zt:.z%udW%]xܮVz$Vŗ49[^y.խN~M&mx+wGR~_4KC[ʻ:v>03߶v9x-Mȧ$c:lrCWjeg%ֹ_Nh՝Qɏj^ϛr^.>WhlE5yֵ6\W^确]*гc&^NI[oCDn.ߑ!,m&M_/'Mn$s\r^8|uSZZ1|LV<(zq׮xmٚZƏ%.Ԁs^2𱸒O#&,s[mײ9kޖCoSq&俙qxP.N] 2UǎsM2iN.f r[mcQZmFُE{#[TbҔ*sfaSrn^8N<\_'MarJ6 EQғ|F[S'[~q~kmn[_x?B f5Q١X=g(~[Cx}GO ĺo'e)~dq(Ot`sN=~heu ::m'Cjj>~5V柙cyQD%uqEc{[l^U O]b~eŦۑ'W3&' 2V.^D%G S6\wYNO$. O+^ŵG~haEs^=1*bICzFF4O#,Wu3허ekB\I'tWMߩOG3iFz{rgeM9g r] i3gk&u1r/1kVgR-ɿuF .^;3;?3큦bN̂r4ovMkڞ}[:,IVG<};*-2",>K%bK2Ƨ[w!)ˤ;d?4%Ul2ږec4#ōIw^R_/TFX+*FM[F|a'ߚ2SIMeVGn ~&Y Ym(?ԛ],=|сG4yjk"Q^~ԗ^c,qqrg^-:Uc[E8>>k|nS..LBIc>3i|ZEZXAqm nuOm<; X~mrK=~ ƱrSN<U!F΋WS/|t?K)zd} ,C"ovx?bբs3mX3桭X֖˦kFddhg}$ggSo5jL*NdJis$ EQ\v=0HxzyW~FT_Ƶccg,&=_V(%kq+_÷O'[_[Uڽv F $Ξ9n5EN/4Yy/%*} .jΔ`V_6\VͲohzfOgޯzpj}y}v:34WH;+x7ӻu<ݦ"mJ/=>eoD֣c4kXW-[}٬6;t[Na_• _5i5˗sٴ]+e;Joj㼶ۙyLumo5&F)F\ {(sm_M>gzcr)KU̠Ħ=VDd'h;-aŤ9KٰqQܫަazMp4bk9 UX.ͮ]KeS5Uq[¹X0ɦ6]roFjʧ2׏6/C6eQE5KӰmsFnIz&`z팡-ٯ.ixyك?c2//z6M4W[]_"?Õ[? Vfvӳq]I5(d|MʝzcC*mN>B2gD+><e:Gh %UkW%zJ8k_ˠ=KFRfw{sŖ^q\/{v[Ω}gLjT[t_ޕg6G~rkkMcSRKբ54?SAûO1o%[>5/R~CioNdNʛćh>f6H8c/<1xd[ŦCEk.9"ej?w&O6^ژR[vrQ.z㎩f6:V8}hi2z~ s-w]+|I9s_C~>-S&9ZFVLf7-d'pՠplJ#mm؎s(?Ʋ?/A%_sXuGNnR}_dq>1ʍ|У3]NXYZʷ/&ܛ彖LS? 6]"_t5qP5Kq]^m91jW暹U6-5WU澦M0˵f2ӪǮ.P~? _nEJTcTei)ٳrۣ%x %gs}7l9'tb~dXst# r?}Weaq>=+to)7،E*vn\e_,\NFxcivz]tM˼?Oԝ2Zrλs-ĺEtonIIfm/9^[^EBUjOnr6vI& l]%0")2䒶-+R*zyX<> -X9GUo^xYQ8ιvixٔa\t)hv}ьոVU~tK,=_wLLa?TYIo]$`N6cbi?#7;MRt<.~Q-mob\\g5췍 ڌ_?8nfJN/Y͢n3?_sϩ{HiְPo'yS??_jߡWi5q? MWȲ)8a]lLˏ--b[TXlΫRy;o5뜾$HW.mm?շG[Ƀ seo5Q}Le%*،«~uU{R$t\^%!weX:G('6WupTS&~8=jo?2_PϖE[nf6Tٯ;GLW)NM[o*\j%.gb|䭹noOX:1R)UTj74˓]D_bʝkzNI.9|^G`KeQ{mOjX/sR7evdgi7qm}ތW&4=~|YY)?7Oj}xXkF×4c.l?i|b[5Ή5j-[Y\z<茲Z$Ff&o;gErǩݦ̪/q[&[/9uuzi;PS^_/?]=ΕqK~ӛ5'NM[m_Ϲc'[oӯE#g߂vvGNRo϶o5Ǩ[ɉtov2~i<7iSȜN(G5+/ٛMTܣukj鷣/$1˒!Mxr\ߤs1ZuMQȌ^]c$CXrj#N/˦Ķ9]Nzê5zi;W,v!ŧD6zğ7uR5^MW}>igl2U2nXo{}_w]&vte\Z3 MEEe/ 2s㗼S_bIղTI}|[Ye/c]*̪9u/DmyNxSDgi `Z?.RFj۪'~.[KVb޺o濡to?E#[.^y=q4F8ڎ/GX\.YW!Z.ѕtt:?gYYyU%Uw~ri>ȦKhg,5/=>V?TrN4aWO,oӕ7-SRi*"dܽpuaVQÞd-#J2Nr:#``ѧWR-F?I-T -cOT2pr?þזgE\Ij~L9%EMoџUؙt8_eYΧWjU}e9y9z/#TT-2dLt3H=ڼcKb'"uIٓ'[[߱F~\2]r%C]^VCLjm[cJNryf}ջ.[DEoRՒb'>fVy_c6[K4Na5>{ɳaw/Uj.Զ_K~?IeJ7OQx3IgFc*جɊǽ-o3Ӭp / ]7V*ENܜ[r/tOJΉw*ʨ*JFN^.WZeLgUwKi/M9y8dkOᛊHxGĶM*&#h/U|6D(uFyE5hYxiSEVm^D|,ۿCj;<*ouOkYpΔ2{x-L] !k2ا#IM'a7:M}M1Y儭Mnk[/;4Uwkkɫ%aɔoXVV$m;2Z4i9:>\Yů= ?[{t6,~!c`Un+dW.gKyIB]l+3kض(\MZ\}>k\C~閹l[ů]VNtƸr몮X+U>v'nv{y7s[г̭9Ctvt% GqT8=wa(6\Rd柮YWv^Fd^\+緉,+=-^S"k:NVu o[_TIѝ椯bF/G㿏dΙ?T}K-T)W>s?3M)V*,;P\,}B u{rDexڥVFfw}47׋w}]Դ 1dmk1V%/'T:Fǒ_TEe[l/l/ٯc{Ƀ[~`zj⾥r}Vܪ{M8Qv]$mU]8J2MngcxY?鑞.9HjxSy.fS(|]MgcK2$(jRQ3XO|<f:Jq4& fw|$N )A8ת99 mFNM*Dϒ NoIa9i9y?:D⻧߇\7ɧ]mu"-˥5/w̨_ 7DK['[2"(%xzT\*GT"+<,yX.lEJrfo?.4N;l>jmZߣ5FdB3\r,t,./S]Q{tm5lӕT~A [fv7Iہc: ΪN7I]2(|o$NLW"#~Dͭ=v-Mv{-lqn{I3xn'6.=DƟܖަ~deQV;k2Ei\[bӴ1_]OhZl朠&t3xkei+c\'ZԪ'hK梿X@cTԫ#emIz6e^i?8 NBc̆f+MׇdC]YSd%lώ8-c7eι/}_con/no\핍~[WNReXMo+اn ?#Ͷ-AUFN1V4!y,{1a$S﹑;Ǚr"__[o) xk}7EI/riwؙ7mR}`|yrEVdo/B# uٳiNQKQkᑑ^d@/=ˑɒ768fsuor9=7ףܹճpMr-$1uySOZN?đrqզ9F q=.!T?ػ bf{¯q=$^:!ES߿ Fu\OS,8e^UוS^hF4BQƺȪw-kF39@X06 Fv=Q^|ƞ5}2tnmG_|Λ(|%](-5>KȁN$=6lq).12 V6m$ׇlOcҫܸ K{;ľ>+Q?Rx-Keu uMy$i B}G*h$Q -W[-&a"[i\}~Ek$<~c{MffS eS.#\^lMiytު]9S{u4 {DFޅSź}R ]R$y;r/P̙3niXMt;&!rxw\ZFmQ"w\L{^۔K&/gr:m=2%5bwE"^e[\$ɟPi!U_rdS2d?=[!(I.rC QZEim%}|YmzZ_ά<ۡLQM|` ybPȏ}?]Eu[`kҫgFb~F}Q8NP>5lӳ^-K%Q}$sx7SvnfTƸ|Kzd'_ⰽח$4L Y?qy32t j2e ȜrJ{mبhۍUU'p#8y'ѝ=i+Tĩo7WYyČkL5؝M=%"Nt}eXW)N.~sv5pɮ sSQ[+-/}kVk'FEɩ9SE&T=&\緵 --tf.9Ѳ4_##_ɱTFV؞~YTddS&s=䟚Fb1._5}~gM'p#,U hs--XG wtԹTi7M:GYK5'^W?C>_Gq/S&d| k_gO ӊiJeHU G_ Êg#),}-:5>V1emq}t}q?meKU:BqJeiPɗ#\$sI} Z生ƫoo=V=pVcUg"%wEm叡vIdhrȔ~F]p58_.,O|'Ɇ^L!c6OWӷ{x9?Fp?ceOuT+Uɵݹ&gx9i퓃sxGIm}_3Īr#:ԣ?4בc[jö#B7KʌWNo)=+c }YvP{lv^r+5Vxx_:~=̌Q}CTy+Wh鸚f$101뢊F[#--Y\i@l)W8/E>8nlj/ktOľ,q*[sE[]:?ZeQvŔɺ|j(Wx,LW=:S?κq%81c)jJvODLiW,{96vr-2}-EH,}%3k#l5gl~x__W Sڎ 8YJQvA=QIWju6-X9$kWЩCI4UWd'&O/Cf=Pi/#+>n$KYst܅y4ʷD^~%~myj,s_4Q}΍Cή;SW:h=Ff{.B/inȇo=-T͸OY2}hlK}.m7-z?,f-/^b\QWs/_͔/3In[6M;l ygؼ!WUË_)D9YL4_>f}ϵ3hV5Oѣ(l8?L4蹥[-Э=7V{&ʢPʼ*3cMz>u4@[oM gKS[jy"Lھzɵfx)GE`ֿ.=kJ>/iˢ[j-qץQC B@o V(ʯG?Bܻ\I>=K-].(vOE.5׮=/Pf^&$caY9{3މ%YOxZ~6Z;;ԗ.NJzş/YϖĜ%ѿO^tY$ν4|e}2ɶU9A؜h˺LrIm%J.|I]kG|DzU k4'(T\9߱^!z -:mW^ <= <^2*;Seq(6ªsHf5ʸO{Ilr~G uJY^k5X_y;5'59O@ƣ̶>pnCOvNwX4oUUf]Џe%MV9Xm9]x'Q=82z)c/~1\~LSow>ﺍƻUql~Sqo羘sk}VjG71kYؽ]b4qnMӡ; w@̇IL㿗[43)]=v*)EH'a񖳋ҎTkxuXGK& ZIR(M8?:ixJp-dmckpu*%N^-7E3='ceE&';_J'Mw𶥏Y9+d9+>!e_Sn|VX -TZu]Ģ/6\ckr /ޗ/z[y.N:*k$ }Yǭ}GUm^-%dm;K_#ctBsg2:8rz-VE|T w.}w9NEPGnoCe8/&3qT}MJ̙Mۗ~哳,-WI_Bsh+~͛vN{ZdYKݲkr%+lo*re-ه?:vYqFfCsqMXRķ{yqgrx.oǓ\xdڗ_ZC9WomX|KmV_%UJܷr$drȳL~MoKyYLic Jq<1$UuٯTד374s<ĕ96춉r9 pGc9=p^:)ZJb&VӝXٽ 0/X& ۳*_ԙƏ.5J 6<$$6B0d_d?hqd>XCe- wO@pg:.>$.Ϣ~L޲|,{-ɪ2.u/Ds-[ُiVIWK5M#Fܭ3?x.)ۣ,wJ)Ȳڣ-#fbdq&Tͧ8Q,YqQ)/R­?\k˔[p_+ogzP[6r^o}_kT}JiJ;<ivEH8wI@MOPʊ\#+$%PDF-1.7 GIF89;
ANDA PELER
Server IP : 182.253.108.180  /  Your IP : 18.119.122.145
Web Server : Apache
System : Linux sma1wiradesa.sch.id 4.15.0-213-generic #224-Ubuntu SMP Mon Jun 19 13:30:12 UTC 2023 x86_64
User : wijaya ( 1017)
PHP Version : 7.3.33-10+ubuntu18.04.1+deb.sury.org+1
Disable Function : pcntl_alarm,pcntl_fork,pcntl_waitpid,pcntl_wait,pcntl_wifexited,pcntl_wifstopped,pcntl_wifsignaled,pcntl_wifcontinued,pcntl_wexitstatus,pcntl_wtermsig,pcntl_wstopsig,pcntl_signal,pcntl_signal_get_handler,pcntl_signal_dispatch,pcntl_get_last_error,pcntl_strerror,pcntl_sigprocmask,pcntl_sigwaitinfo,pcntl_sigtimedwait,pcntl_exec,pcntl_getpriority,pcntl_setpriority,pcntl_async_signals,
MySQL : OFF  |  cURL : ON  |  WGET : ON  |  Perl : ON  |  Python : ON  |  Sudo : ON  |  Pkexec : ON
Directory :  /usr/share/spamassassin/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :


[ HOME ]     

Current File : /usr/share/spamassassin/20_pdfinfo.cf
# SpamAssassin rules file: Pdfinfo rules
#
# Please don't modify this file as your changes will be overwritten with
# the next update. Use @@LOCAL_RULES_DIR@@/local.cf instead.
# See 'perldoc Mail::SpamAssassin::Conf' for details.
#
# <@LICENSE>
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to you under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at:
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# </@LICENSE>
#
###########################################################################

# 2014-12-02 - axb
# Info and disabled rules kept for historical & documentation reasons
# Updated rules may be added
#
# Original File: pdfinfo.cf
# Original Version: 0.6
# Info: $Id: pdfinfo.cf 895 2007-07-27 10:31:08Z alexb $
# Created: 2007-06-25
# Modified: 2007-07-19
# Original / Defunct Site URL: http://www.rulesemporium.com/plugins.htm#PDFinfo
# Author: Dallas Engelken (aka GMD :-)
# Rules contributed by Alex Broens
# Requires: PDFInfo.pm plugin
# Description: This plugin/ruleset combination will help you alleviate the new
#              PDF based stock spam which began to appear mid-June, 2007.
#
#
# Changes:
#
#   0.6 - added easypdf producer rule and more no body text metas
#       - tags support added, see USING TAGS below.
#   0.5 - added fuzzy test 7
#   0.4 - added new fuzzy for encyprted pdf image spams.
#       - added rule to check for encryption
#   0.3 - added rules based on the new pdf_match_details() function
#       - added additional fuzzy md5 rules
#       - disabled static md5 rules as they are no longer hitting.
#   0.2 - added static md5 to hit full page stock spam.
#   0.1 - initial ruleset.
#

############################################
# USING TAGS
############################################

# The follow tags can be defined in an add_header line
#
# _PDFCOUNT_    - total number of pdf mime parts in the email
# _PDFIMGCOUNT_ - total number of images found inside pdf mime parts
# _PDFVERSION_  - PDF Version, space seperated if there are > 1 pdf attachments
# _PDFNAME_     - Filenames as found in the mime headers of PDF parts
# _PDFPRODUCER_ - Producer/Application that created the PDF(s)
# _PDFAUTHOR_   - Author of the PDF
# _PDFCREATOR_  - Creator/Program that created the PDF(s)
# _PDFTITLE_    - Title of the PDF File, if available
# _PDFIMGDIM_   - If PDF Contains images, the dimensions of them will be put here
# _PDFIMGAREA_  - The total area of all combined images inside the PDF(s)
# _PDFMD5_      - MD5 checksum of PDF(s) - space seperated
# _PDFMD5FUZZY1_- Fuzzy1 MD5 checksum of PDF(s) - space seperated
# _PDFMD5FUZZY2_- Fuzzy2 MD5 checksum of PDF(s) - space seperated
#
# Example add_header lines
#
# add_header all PDF-Info pdf=_PDFCOUNT_, pdfimg=_PDFIMGCOUNT_, ver=_PDFVERSION_, name=_PDFNAME_
# add_header all PDF-Details producer=_PDFPRODUCER_, author=_PDFAUTHOR_, creator=_PDFCREATOR_, title=_PDFTITLE_
# add_header all PDF-ImageInfo dim=_PDFIMGDIM_, area=_PDFIMGAREA_
# add_header all PDF-Md5 md5=_PDFMD5_, fuzzy1=_PDFMD5FUZZY1_, fuzzy2=_PDFMD5FUZZY2_
#

############################################
# GENERIC RULE EXAMPLES SHOWING EVAL USAGE
############################################

# you can match by name
# body          MY_TEST_PDF             eval:pdf_named('mytest.pdf')

# or you can write a regex to match dynamic file names.
# body          MY_TEST_PDF             eval:pdf_name_regex('/^(?:my|your)test\.pdf$/')

# you can make it case insensitive by using modifiers
# body          PDF_IMGXXXXX            eval:pdf_name_regex('/^IMG\D+\.\.PDF$/i')

# you can do exact image size matches
# body          PDF_DEMS_150_400        eval:pdf_image_size_exact(150,400)

# you can do image to text, or image to html ratios
# rawbody       PDF_TO_HTML_RATIO       eval:pdf_image_to_text_ratio(0.000, 0.015)
# body          PDF_TO_TEXT_RATIO       eval:pdf_image_to_text_ratio(0.000, 0.008)

# you can do minimum demension matches
# body          PDF_SIZE_RANGE_1        eval:pdf_image_size_range(300,300)

# you can do ranged demension matches
# body          PDF_SIZE_RANGE_2        eval:pdf_image_size_range(200, 300, 250, 350)

# you can count the number of pdf mime partts
# body          PDF_MIME_COUNT_1        eval:pdf_count(1,1)
# body          PDF_MIME_COUNT_2_PLUS   eval:pdf_count(2)

# you can count the number of images inside the pdfs
# body          PDF_IMG_COUNT_1         eval:pdf_image_count(1,1)
# body          PDF_IMG_COUNT_2_PLUS    eval:pdf_image_count(2)

# you can determine pixel coverage
# body          PDF_AREA_SMALL          eval:pdf_pixel_coverage(1,100000)


# match a md5 or fuzzy md5 signature of the pdf

# body          PDF_BAD_MD5             eval:pdf_match_md5('C359F8F89B290DA99DC997ED50117CDF')
# body          PDF_BAD_FUZZY           eval:pdf_match_fuzzy_md5('7340821445D975EEF6F5BDE2EC257900')

# Now you can match against certain details if they are found in the PDF.
# A regex match is used on the value specified, so if you want to do an
# exact match, use anchors  ^value$
#
# body          GMD_AUTHOR_MOBILE       eval:pdf_match_details('author','/^mobile$/')
# body          GMD_PRODUCER_GPL        eval:pdf_match_details('producer','/(?i)^gpl ghostscript/')
# body          GMD_CREATOR_PSCRIPT5    eval:pdf_match_details('creator','/^PScript5/')
# body          GMD_TITLE_WORD_DOC1     eval:pdf_match_details('title','/^Microsoft Word \- Document1$/)
# body          GMD_CREATED_JULY07      eval:pdf_match_details('created','/^200707/')
# body          GMD_MODIFIED_JULY07     eval:pdf_match_details('modified','/^200707/')

ifplugin Mail::SpamAssassin::Plugin::PDFInfo

#######################################
# DISABLED RULES, ENABLE IF YOU WANT
#######################################

# Small area
# Disabled - Hits Ham
# body          GMD_PDF_SMALL_AREA      eval:pdf_pixel_coverage(1,100000)
# describe      GMD_PDF_SMALL_AREA      PDF Area covers 150k pixels or less
# score         GMD_PDF_SMALL_AREA      0.75
# counts        GMD_PDF_SMALL_AREA      51s/15h of 10615 corpus (5652s/4963h AxB) 06/25/07

# NOTE - people do send pdf's without message bodies!
# Disabled - Hits Ham
# body          GMD_PDF_NO_TXT          eval:pdf_image_to_text_ratio(0.000, 0.005)
# describe      GMD_PDF_NO_TXT          Low rawbody to pixel area ratio
# score         GMD_PDF_NO_TXT          0.01
# counts        GMD_PDF_NO_TXT          64s/3h of 10615 corpus (5652s/4963h AxB) 06/25/07

####################################
# HERE ARE THE LIVE RULES
####################################



######################################################################################################
# pdf image dimensions

# thin horizontal, common stox.
body            GMD_PDF_HORIZ           eval:pdf_image_size_range(100, 450, 240, 800)
describe        GMD_PDF_HORIZ           Contains pdf 100-240 (high) x 450-800 (wide)
score           GMD_PDF_HORIZ           0.25
# counts        GMD_PDF_HORIZ           135s/0h of 6132 corpus (4555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PDF_HORIZ           278s/0h of 34051 corpus (33259s/792h AxB2-TRAPS) 07/13/07

# near square, and small.  common stox.
body            GMD_PDF_SQUARE          eval:pdf_image_size_range(180, 180, 360, 360)
describe        GMD_PDF_SQUARE          Contains pdf 180-360 (high) x 180-360 (wide)
score           GMD_PDF_SQUARE          0.50
# counts        GMD_PDF_SQUARE          36s/0h of 6132 corpus (4555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PDF_SQUARE          46s/0h of 34051 corpus (33259s/792h AxB2-TRAPS) 07/13/07

# thin vertical, very tall.  common stox.
body            GMD_PDF_VERT            eval:pdf_image_size_range(450, 100, 800, 240)
describe        GMD_PDF_VERT            Contains pdf 450-800 (high) x 100-240 (wide)
score           GMD_PDF_VERT            0.90
# counts        GMD_PDF_VERT            24s/0h of 6132 corpus (4555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PDF_VERT            10s/0h of 11773 corpus (10988s/785h AxB2-TRAPS) 07/11/07

######################################################################################################
# static checksums

# all static md5 spam runs are complete as of 7/11
# if there are more, we'll add new rules.

# removed fuzzy rules dated 2007
# Get fuzzy info:
# cat msg.eml | spamassassin --debug pdfinfo  2>&1 | grep fuzzy 2>&1

# sample rules ONLY
# fuzzy checksum for bad stox
#body            GMD_PDF_FUZZY1_T1       eval:pdf_match_fuzzy_md5('57EBC1FFB1A24CC14AE23E1E227C3484')
#describe        GMD_PDF_FUZZY1_T1       Fuzzy MD5 Match 57EBC1FFB1A24CC14AE23E1E227C3484
#score           GMD_PDF_FUZZY1_T1       0.001

# same as rule above using fuzzy md5 of pdf structure
#body            GMD_PDF_FUZZY2_T1       eval:pdf_match_fuzzy_md5('653C8AA9FDFD03D382523488058360A2')
#describe        GMD_PDF_FUZZY2_T1       Fuzzy MD5 Match 653C8AA9FDFD03D382523488058360A2
#score           GMD_PDF_FUZZY2_T1       0.001


######################################################################################################
# pdf_match_details()

# from embedded link spam
#body            GMD_AUTHOR_COLET        eval:pdf_match_details('author','/^colet$/')
#describe        GMD_AUTHOR_COLET        PDF author was 'colet'
#score           GMD_AUTHOR_COLET        4.50
# counts        GMD_AUTHOR_COLET        1s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07
# counts        GMD_AUTHOR_COLET        2s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07

# from full page pdf stock spammer.
#body            GMD_AUTHOR_MOBILE       eval:pdf_match_details('author','/^mobile$/')
#describe        GMD_AUTHOR_MOBILE       PDF author was 'mobile'
#score           GMD_AUTHOR_MOBILE       2.75
# counts        GMD_AUTHOR_MOBILE       2s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_AUTHOR_MOBILE       55s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07

# txt only stock spam
#body            GMD_AUTHOR_OOO          eval:pdf_match_details('author','/^openofficeuser$/')
#describe        GMD_AUTHOR_OOO          PDF author was 'openofficeuser'
#score           GMD_AUTHOR_OOO          1.75
# counts        GMD_AUTHOR_OOO          1s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07
# counts        GMD_AUTHOR_OOO          118s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07

# txt only stock spam
#body            GMD_AUTHOR_HPADMIN      eval:pdf_match_details('author','/^HP_Administrator/')
#describe        GMD_AUTHOR_HPADMIN      PDF author was 'HP_Administrator'
#score           GMD_AUTHOR_HPADMIN      0.25
# counts        GMD_AUTHOR_HPADMIN      105s/0h of 6132 corpus (4555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_AUTHOR_HPADMIN      27s/0h of 11773 corpus (10988s/785h AxB2-TRAPS) 07/11/07

# generic rule for software used to produce the pdf.
body            GMD_PRODUCER_GPL        eval:pdf_match_details('producer','/^(?:gnu|gpl) ghostscript/i')
describe        GMD_PRODUCER_GPL        PDF producer was GPL Ghostscript
score           GMD_PRODUCER_GPL        0.25
# counts        GMD_PRODUCER_GPL        227s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PRODUCER_GPL        85s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07

# generic rule for software used to produce the pdf.
body            GMD_PRODUCER_POWERPDF   eval:pdf_match_details('producer','/^PowerPdf 0\./')
describe        GMD_PRODUCER_POWERPDF   PDF producer was PowerPDF
score           GMD_PRODUCER_POWERPDF   0.25
# counts        GMD_PRODUCER_POWERPDF   0s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07
# counts        GMD_PRODUCER_POWERPDF   0s/0h of 5641 corpus (4064s/1577h AxB-MANUAL) 07/11/07

# producer is bcl
body            GMD_PRODUCER_EASYPDF    eval:pdf_match_details('producer','/^BCL easyPDF/')
describe        GMD_PRODUCER_EASYPDF    PDF producer was BCL easyPDF
score           GMD_PRODUCER_EASYPDF    0.25

# simple check for encryption used inside pdf.
# recommend meta with something else...
body            GMD_PDF_ENCRYPTED       eval:pdf_is_encrypted()
describe        GMD_PDF_ENCRYPTED       Attached PDF is encrypted
score           GMD_PDF_ENCRYPTED       0.60
# counts        GMD_PDF_ENCRYPTED       13s/0h of 34051 corpus (33259s/792h AxB2-TRAPS) 07/13/07

# simple check for empty msg body when there is one or more pdf attachments present.
body            GMD_PDF_EMPTY_BODY      eval:pdf_is_empty_body()
describe        GMD_PDF_EMPTY_BODY      Attached PDF with empty message body
score           GMD_PDF_EMPTY_BODY      0.25
# counts        GMD_PDF_EMPTY_BODY      1638s/20h of 27034 corpus (24636s/2398h AxB-MANUAL) 07/19/07

######################################################################################################
# metas
#meta            __GMD_PDF_CHECKSUM      ( GMD_PDF_FUZZY1_T1 || GMD_PDF_FUZZY2_T1 || GMD_PDF_FUZZY2_T2 || GMD_PDF_FUZZY2_T3 || GMD_PDF_FUZZY2_T4 || GMD_PDF_FUZZY2_T5 || GMD_PDF_FUZZY2_T6 || GMD_PDF_FUZZY2_T7 ||GMD_PDF_FUZZY2_T9 || GMD_PDF_FUZZY2_T10 || GMD_PDF_FUZZY2_T11 || GMD_PDF_FUZZY2_T12 )
#meta            __GMD_PDF_DETAIL        ( GMD_AUTHOR_COLET || GMD_AUTHOR_MOBILE || GMD_AUTHOR_OOO || GMD_AUTHOR_HPADMIN || GMD_PRODUCER_GPL || GMD_PRODUCER_POWERPDF || GMD_PRODUCER_EASYPDF )
meta            __GMD_PDF_DIMS          ( GMD_PDF_VERT || GMD_PDF_HORIZ || GMD_PDF_SQUARE )
meta            __GMD_PDF_PRODUCERS     ( GMD_PRODUCER_GPL || GMD_PRODUCER_POWERPDF || GMD_PRODUCER_EASYPDF )

# rule hits ham by itself, so use just to meta.
body            __GMD_PDF_NO_TXT        eval:pdf_image_to_text_ratio(0.000, 0.005)

# meta checksum hit with image dimensions
#meta            GMD_PDF_STOX_M1         ( __GMD_PDF_CHECKSUM && __GMD_PDF_DIMS)
#describe        GMD_PDF_STOX_M1         PDF Stox spam
#score           GMD_PDF_STOX_M1         3.25
# counts        GMD_PDF_STOX_M1         159s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PDF_STOX_M1         40s/0h of 11773 corpus (10988s/785h AxB2-TRAPS) 07/11/07

# meta checksum hit to pdf details
#meta            GMD_PDF_STOX_M2         ( __GMD_PDF_CHECKSUM && __GMD_PDF_DETAIL )
#describe        GMD_PDF_STOX_M2         PDF Stox spam
#score           GMD_PDF_STOX_M2         2.95
# counts        GMD_PDF_STOX_M2         223s/0h of 6132 corpus (555s/1577h AxB-MANUAL) 07/11/07
# counts        GMD_PDF_STOX_M2         29s/0h of 10767 corpus (9986s/781h AxB2-TRAPS) 07/11/07

# meta dimensions and encryption
#meta            GMD_PDF_STOX_M3         ( __GMD_PDF_DIMS && GMD_PDF_ENCRYPTED )
#describe        GMD_PDF_STOX_M3         PDF Stox spam
#score           GMD_PDF_STOX_M3         2.25
# counts        GMD_PDF_STOX_M3         12s/0h of 34051 corpus (33259s/792h AxB2-TRAPS) 07/13/07

# meta checksum with no text
#meta            GMD_PDF_STOX_M4         ( __GMD_PDF_CHECKSUM && (__GMD_PDF_NO_TXT || GMD_PDF_EMPTY_BODY))
#describe        GMD_PDF_STOX_M4         PDF Stox spam
#score           GMD_PDF_STOX_M4         2.95

# meta no body text along with automated pdf production.
#meta            GMD_PDF_STOX_M5         ( __GMD_PDF_PRODUCERS &&  (__GMD_PDF_NO_TXT || GMD_PDF_EMPTY_BODY))
#describe        GMD_PDF_STOX_M5         PDF Stox Spam
#score           GMD_PDF_STOX_M5         1.00

endif

Anon7 - 2022
SCDN GOK