Malicious PDF — malware analysis report

Static analysis result for SHA-256 0fece26d41e8d676…

MALICIOUS

PDF

46.0 KB Authoring application: SWFTools
MD5: 27cf74316ff330d25e442ca8ec21bd8d SHA-1: 49d407bedb3fb6bedfb113c4226d125e16e5418f SHA-256: 0fece26d41e8d676617fb76c005e5408604c94f10c4744a3d35c6d6b400b61ff
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1203 Exploitation for Client Execution

The PDF contains a large number of embedded URLs, indicating a link farm designed to redirect users to potentially malicious content. The ClamAV detection and ML classifier strongly suggest malicious intent, likely for phishing or malware distribution. No scripts were extracted, and the document body was unreadable, so the primary attack vector appears to be the extensive URL list.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • ClamAV: Pdf.Phishing.TtraffRobotInstall-7605656-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.TtraffRobotInstall-7605656-0
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://www.goldnewmexico.com/uploads/1/3/0/2/130288534/3964289.pdf
    • http://usatfregistration.com/uploads/1/3/0/5/130588620/762ebc9b29.pdf
    • http://caps-kawauchi.net/uploads/1/3/0/7/130740222/8141856.pdf
    • http://english-log-cabins.com/uploads/1/3/0/4/130435732/2b097f.pdf
    • http://mantrafarm.com/uploads/1/3/0/6/130621162/471e5e71f9c77.pdf
    • http://jonathanarussell.com/uploads/1/3/0/6/130604621/9a639b.pdf
    • http://aaronkleiber.com/uploads/1/3/0/5/130542953/mugisowaminidoro.pdf
    • http://hoffnagledesign.com/uploads/1/3/0/5/130546977/7840923.pdf
    • http://xenoadoptshop.com/uploads/1/3/0/7/130775334/wexakolopux.pdf
    • http://raulfortes.com/uploads/1/3/0/6/130639607/pasonavowewevaji.pdf
    • http://sarah-jo.com/uploads/1/3/0/4/130483394/fuwamotumuza_wofojuwaw_mupifetenub_boker.pdf
    • http://2ndlookdds.com/uploads/1/3/0/6/130620948/pujelagepa-nidunozo-pirum-topatomilikuda.pdf
    • http://ninjamindfulness.com/uploads/1/3/0/7/130775912/6614739.pdf
    • http://porkadelphia.com/uploads/1/3/0/5/130589396/xenilevixedipew.pdf
    • http://crosswayscounselling.com/uploads/1/3/0/8/130874671/fevoxisoliloje.pdf
    • http://mylittleteethers.com/uploads/1/3/0/3/130312957/tolabaweponevekezav.pdf
    • http://mail.leelashes.ca/uploads/1/3/0/3/130313188/tapowenuw.pdf
    • http://hoysi.com/uploads/1/3/0/7/130739904/nunaka_tinosaz_mutololuzip.pdf
    • http://eurekarally.com.au/uploads/1/3/0/6/130639691/90203.pdf
    • http://dynamicnutritionpro.com/uploads/1/3/0/6/130621193/f0d9af.pdf
    • http://residenciales.org/uploads/1/3/0/5/130543816/zokibufuvu.pdf
    • http://www.bardosdiamondsports.com/uploads/1/3/0/7/130738735/130738735.html#artificial+intelligence+%28ai%29+vs.+machine+learning+vs.+deep+learning

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000053cb.bin
f7aac02b5c1e80832d0e807acbe5e4f193af9b92101b70961af0f33e2b92f6c5		 pdf-font-stream PDF embedded font (sfnt) at offset 0x53CB 7960 bytes

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